Paper
11 October 2023 Study on distributed hydrogen block chain trading mechanism based on game strategy
Chongshi Wang, Yuede Hu, Nan Li, Hao Yang
Author Affiliations +
Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 1291806 (2023) https://doi.org/10.1117/12.3009450
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China
Abstract
The hydrogen market trading mechanism has problems such as high transaction costs and a small market scale, making it difficult to meet the demand for large-scale renewable energy hydrogen production. Blockchain smart contracts have the potential to solve these problems with their decentralized, distributed ledger, and transparent features. Firstly, this paper analyzes the interest relationship between trading subjects and introduces game theory to establish a game model and mechanism for hydrogen energy trading strategies. An improved ant colony algorithm is used to obtain the Nash equilibrium solution, providing the most optimal pricing strategy for trading parties. Secondly, by dynamically changing the stability coefficient of nodes and selecting new main node mechanisms, the probability of selecting malicious nodes is reduced, thus improving transaction consensus speed. Finally, through case analysis verification it was found that this proposed hydrogen energy trading mechanism can effectively reduce transaction costs and improve system operating efficiency. This research has certain significance in promoting the application of hydrogen energy in distributed energy.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chongshi Wang, Yuede Hu, Nan Li, and Hao Yang "Study on distributed hydrogen block chain trading mechanism based on game strategy", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 1291806 (11 October 2023); https://doi.org/10.1117/12.3009450
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KEYWORDS
Hydrogen

Hydrogen energy

Blockchain

Data modeling

Industry

Information security

Mathematical optimization

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